P. Mallikarjuna
- Environmental Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Water Science and Technology top 5%
- Global and Planetary Change top 10%
- Plant Science
- Co-authors
- Barbara CaputoE. HaymanS. ManjunathD. S. GuruPrateek PrasannaTirumuru V. ReddyGaurav MittalS Mallikarjunaswamy
- Topics
- Hydrology and Watershed Management Studies (8 papers)Groundwater and Watershed Analysis (6 papers)Hydrological Forecasting Using AI (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Monitoring and AssessmentWater Resources Management
In The Last Decade
P. Mallikarjuna
30 papers receiving 618 citations
Peers
Comparison fields: 5 of 91
- Environmental Engineering 205
- Computer Vision and Pattern Recognition 186
- Water Science and Technology 172
- Global and Planetary Change 135
- Plant Science 91
Countries citing papers authored by P. Mallikarjuna
This map shows the geographic impact of P. Mallikarjuna's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by P. Mallikarjuna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Mallikarjuna more than expected).
Fields of papers citing papers by P. Mallikarjuna
This network shows the impact of papers produced by P. Mallikarjuna. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by P. Mallikarjuna. The network helps show where P. Mallikarjuna may publish in the future.
Co-authorship network of co-authors of P. Mallikarjuna
This figure shows the co-authorship network connecting the top 25 collaborators of P. Mallikarjuna. A scholar is included among the top collaborators of P. Mallikarjuna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. Mallikarjuna. P. Mallikarjuna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 7 | |
| 3 | 12 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 26 | |
| 7 | Applications of Artificial Neural Network for Streamflow Forecasting-A Review | 1 |
| 8 | 15 | |
| 9 | 19 | |
| 10 | 53 | |
| 11 | 19 | |
| 12 | Performance evaluation of segmentation and classification of tobacco seedling diseases. | 3 |
| 13 | 44 | |
| 14 | 32 | |
| 15 | 17 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | A RATIONAL APPROACH FOR ESTIMATING AFFLUX AT BRIDGE CONSTRICTIONS | 1 |
About P. Mallikarjuna
P. Mallikarjuna is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change, having authored 30 papers that have together received 649 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (8 papers), Groundwater and Watershed Analysis (6 papers) and Hydrological Forecasting Using AI (5 papers). The work is most often cited by research in Environmental Engineering (205 citations), Water Science and Technology (172 citations) and Geochemistry and Petrology (71 citations). P. Mallikarjuna has collaborated with scholars based in India, Sweden and Mexico. Frequent co-authors include Barbara Caputo, E. Hayman, S. Manjunath, D. S. Guru, Prateek Prasanna, Tirumuru V. Reddy, Gaurav Mittal, S Mallikarjunaswamy and Chandra Sekhar Reddy Kolli. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Monitoring and Assessment and Water Resources Management.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.